This post showcases a BTC trading bot that uses three models—OPUS 5.5, JEV, and OpenAI Dots—for triple confirmation, scanning 214 pairs and keeping 12 matches, with JEV involved in final order decisions.
OPUS 5.5 + JEV + OPENAI DOTS have to agree 3 out of 3 before this bot sends a single order... one graph, 24 nodes, 504 edges, and a spider that walks every step of a BTC trade from the funding rate to the P&L the scan covers 214 pairs and keeps 12 matches then three models
James Long uses Jev to tackle the most annoying problem in personal finance tools: generating good payee descriptions from raw bank data. It got about 95% of the way there on the first try, with many ways to improve the prompting.
A developer uses Jev to decide buy or sell and executes real trades on Kuru's on-chain order book via Monad every 300ms block. Link
Erik Spock Gafni suggests that those who make a lot of profit from Jev trading donate some of their profits to charity.